At a Glance
- Tasks: Conduct cutting-edge research in machine learning and develop innovative algorithms.
- Company: Join Huawei, a global leader in ICT with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact in AI research while collaborating with top scientists worldwide.
- Qualifications: PhD in relevant field and strong publication record in machine learning.
The predicted salary is between 60000 - 80000 £ per year.
About Huawei Research and Development UK Limited
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world.
Overview
Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich.
Job Summary
The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research driven Machine Learning Scientist to join our team. This role focuses on advancing the state of the art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision language models (VLMs). You will work at the intersection of fundamental research and applied innovation, developing novel algorithms, architectures, and systems that push the boundaries of AI capabilities.
Key Responsibilities
- Conduct original research in RL, BO, AI agents, LLMs, and VLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, JMLR, and others).
- Design and implement new algorithms and models that enable advanced reasoning, planning, perception, and multimodal understanding.
- Design and implement new algorithms for efficient decision making under uncertainty with applications to chemistry, physics, open math problems, and robotics.
- Collaborate with cross functional teams to integrate research outputs into scalable systems and real world use cases.
- Explore novel ways to align and enhance AI agents for complex, open ended tasks.
- Actively engage with the broader research community through publications, talks, and open source contributions.
- Mentor junior researchers and contribute to the scientific culture of the team.
Required Qualifications
- PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Strong research track record with publications at top tier ML/AI venues: ICML, ICLR, JMLR, NeuRIPS and the like.
- Deep expertise in at least two of the following: Reinforcement Learning, Bayesian Optimisation, AI agents, LLMs, VLMs.
- Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX).
- Ability to work in a fast paced, research oriented environment with ambiguous and evolving goals.
- Passion for bridging fundamental AI research with impactful applications.
Research Scientist - Machine Learning (Contractor) employer: Job Search Place Limited
Huawei Research and Development UK Limited is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration among a diverse team of experts. With a strong commitment to employee growth, the company provides ample opportunities for professional development through cutting-edge research projects and partnerships with leading academic institutions. Located in London, employees benefit from a vibrant city life while contributing to groundbreaking advancements in AI and machine learning, making it a truly rewarding place to build a career.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist - Machine Learning (Contractor)
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Show them you’re not just another candidate; you’re genuinely interested in what they do!
✨Tip Number 3
Practice your pitch! Be ready to explain your research and how it aligns with their goals. Keep it concise and engaging – you want to leave them wanting more.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Research Scientist - Machine Learning (Contractor)
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for machine learning and AI shine through! We want to see your genuine interest in the field and how it aligns with our mission at Huawei.
Tailor Your CV:Make sure your CV is tailored to highlight your relevant experience and skills. Focus on your research achievements, publications, and any projects that showcase your expertise in reinforcement learning or related areas.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your work, your research interests, and how you can contribute to our team’s goals.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our innovative team at Huawei.
How to prepare for a job interview at Job Search Place Limited
✨Know Your Research Inside Out
Make sure you can discuss your previous research projects in detail, especially those related to reinforcement learning and AI. Be prepared to explain your methodologies, findings, and how they could apply to Huawei's goals.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in the past. Highlight any experiences where you mentored junior researchers or contributed to a team culture.
✨Demonstrate Your Technical Proficiency
Brush up on your Python skills and be familiar with major ML frameworks like PyTorch or TensorFlow. You might be asked to solve a technical problem during the interview, so practice coding challenges that relate to machine learning algorithms.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in AI and machine learning, particularly in areas like Bayesian optimisation and large language models. Being able to discuss current trends will show your passion for the field and your commitment to ongoing learning.
